 
      Atlas of Spinal Imaging Phenotypes e-bog
        
        
        583,01 DKK
        
        (inkl. moms 728,76 DKK)
        
        
        
        
      
      
      
      Spine-related pain is the world's leading disabling condition, affecting every population and a frequent reason for seeking medical consultation and obtaining imaging studies. Numerous spinal phenotypes (observations/traits) and their respective measurements performed on various spine imaging have been shown to directly correlate and predict clinical outcomes. Atlas of Spinal Imaging Phenotypes...
        
        
      
            E-bog
            583,01 DKK
          
          
        
    Forlag
    Elsevier
  
  
  
    Udgivet
    23 marts 2021
    
  
  
  
  
    Længde
    282 sider
  
  
  
    Genrer
    
      MFGV
    
  
  
  
  
    Sprog
    English
  
  
    Format
    epub
  
  
    Beskyttelse
    LCP
  
  
    ISBN
    9780323761123
  
Spine-related pain is the world's leading disabling condition, affecting every population and a frequent reason for seeking medical consultation and obtaining imaging studies. Numerous spinal phenotypes (observations/traits) and their respective measurements performed on various spine imaging have been shown to directly correlate and predict clinical outcomes. Atlas of Spinal Imaging Phenotypes: Classifications and Radiographic Measurements is a comprehensive visual resource that highlights various spinal phenotypes on imaging, describes their clinical and pathophysiological relevance, and discusses and illustrates their respective measurement techniques and classifications.   Helps readers better understanding spinal phenotypes and their imaging, and how today's knowledge will facilitate new targeted drug discovery, novel diagnostics and biomarker discovery, and outcome predictions.     Features step-by-step instructions on performing the radiographic measurements with examples of normal and pathologic images to demonstrate the various presentations.    Presents clinical correlation of the phenotypes as well as the radiographic measurements with landmark references.    Includes validated classification systems that complement the phenotypes and radiographic measurements.    Complies the knowledge and expertise of Dr. Dino Samartzis, the preeminent global authority on spinal phenotypes who has discovered and proposed new phenotypes and classification schemes; Dr. Howard S. An, a leading expert in patient management and at the forefront of 3D imaging of various spinal phenotypes; and Dr. Philip Louie, a prolific surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping. 
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